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Showing 61 - 80 results of 1,035 for search '(((( algorithm basis functions ) OR ( algorithm cep function ))) OR ( algorithm python function ))', query time: 0.93s Refine Results
  1. 61
    Flowchart of the particle swarm optimization algorithm.

    Flowchart of the particle swarm optimization algorithm. by Jian Ma (170138)

    Published 2025
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  2. 62
    The image of the Aekley function.

    The image of the Aekley function. by Zhengyu Xu (8550660)

    Published 2025
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  3. 63
    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures.

    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

    Published 2023
    “…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”
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  4. 64
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    “…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”
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  5. 65
    Low-Order Scaling <i>G</i><sub>0</sub><i>W</i><sub>0</sub> by Pair Atomic Density Fitting

    Low-Order Scaling <i>G</i><sub>0</sub><i>W</i><sub>0</sub> by Pair Atomic Density Fitting by Arno Förster (8356044)

    Published 2020
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  6. 66
    Particle swarm optimization (PSO) algorithm to identify parameter values of model C-fiber axons and meet performance criteria.

    Particle swarm optimization (PSO) algorithm to identify parameter values of model C-fiber axons and meet performance criteria. by Brandon J. Thio (5351147)

    Published 2024
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  7. 67
    Different leaf species with the corresponding Mean Square Error (MSE) and RBFNN curve fitting.

    Different leaf species with the corresponding Mean Square Error (MSE) and RBFNN curve fitting. by Ali Ahmed (2567584)

    Published 2020
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  8. 68
    Two different leaf images belonging to the same plant species and their corresponding contour feature curves.

    Two different leaf images belonging to the same plant species and their corresponding contour feature curves. by Ali Ahmed (2567584)

    Published 2020
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  9. 69
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  10. 70
    The SVM kernel parameters optimization using Bayesian optimization.

    The SVM kernel parameters optimization using Bayesian optimization. by Ali Ahmed (2567584)

    Published 2020
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  11. 71
    Fig 3 -

    Fig 3 - by Ali Ahmed (2567584)

    Published 2020
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  12. 72
    Summarization of related literature.

    Summarization of related literature. by Ali Ahmed (2567584)

    Published 2020
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  13. 73
    The RBFNN as a classifier.

    The RBFNN as a classifier. by Ali Ahmed (2567584)

    Published 2020
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  14. 74
    Classification parameters of the proposed three classifiers.

    Classification parameters of the proposed three classifiers. by Ali Ahmed (2567584)

    Published 2020
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  15. 75
    The SVM kernel parameters optimization using SSA optimization.

    The SVM kernel parameters optimization using SSA optimization. by Ali Ahmed (2567584)

    Published 2020
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  16. 76
    Pairs of features from the 36 features defining the leaf and their corresponding leaf classes.

    Pairs of features from the 36 features defining the leaf and their corresponding leaf classes. by Ali Ahmed (2567584)

    Published 2020
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  17. 77
    The proposed system accuracies with respect to different selected angles (number of features).

    The proposed system accuracies with respect to different selected angles (number of features). by Ali Ahmed (2567584)

    Published 2020
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  18. 78
    Schematic diagram of the experimental algorithm.

    Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

    Published 2025
    “…Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …”
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  19. 79
    Schematics for gmxapi operations.

    Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

    Published 2022
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  20. 80
    gmxapi usage examples.

    gmxapi usage examples. by M. Eric Irrgang (4487278)

    Published 2022
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